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Hello-

I am working on an Ensemble demonstration that involves workflow. Over the course of testing I have cleared out the Ensemble message store several times. This has left several workflow tasks that no longer can be assigned, accepted or rejected.

How do I clear the Workflow Tasklist which is found by going to Ensemble -> Manage -> Workflow -> Workflow Tasks in the Ensemble Management Portal?

Thanks in advance

Ken

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Article
· Nov 9, 2015
Subscribing to posts?

How do I subscribe to a post? I would like to get email notifications when a comment is made on a post.

Not only posts that I created, but also posts from others that I am lurking on (have not commented on )

is this possible?

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Question
· Nov 11, 2015
Linux provider change question

Hi -

If you have Cache installed on a Cent OS machine, and you want to switch the OS to Red Hat 7, and your Caché is installed on a non-OS drive, do you need to reinstall Caché?

I don't think so, but I wanted to check

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Question
· Nov 10, 2015
Dashboard Branding...

Hello DeepSee'ers -

How hard is it to brand a dashboard to a login?

The situation is, I have a Partner that is looking to create common Dashboards in a SaaS model where the Partner's Clients would want to have their individual views of this common dashbaord be branded (logos, color, styles, etc.) to match the Client's branding. This my Partner's Client's End Users will see this common dashboard as the dashboard from the "Client" and not the "Partner" (and certainly not ISC branding)

ie. ISC -> Partner -> Client -> End User

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Article
· Nov 9, 2015
Adding content-

It seems pretty easy to add a post to a group or something like that. But lets take Code Packages for example. How do I go about submitting a code example to be posted under that area?

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Article
· Nov 9, 2015 1m read
Cache SQL Storage Mapping

The attached zip file contains a bunch of examples of Cache SQL Storage mappings that I have done over the years.

If you have existing globals and want to expose them via Objects or SQL you need to setup Cache SQL Storage mapping. If you do not see an example that helps with your case send me an example and I can help you out.

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Article
· Nov 9, 2015 3m read
Tipy a Triky s Caché

Tip dvacátý šestý: objekty a concurrency 2 - swizzling

Když tento seriál před několika lety začínal, byl jeho první díl věnován zajištění izolace instance objektů pro exkluzivní přístup a popisu příslušných API funkcí. Nedávno se mi ale stalo, že mě tento díl dostihl. Jeden ze zákazníků začal mít problémy v aplikaci, přestože důsledně používal exkluzivní zámky pro editování instancí svých objektů.

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Introduction - Analyzing Textual Big Data

Big Data for Enriching Analytical Capabilities - Big data is revolutionizing the world of business intelligence and analytics. Gartner predicts that big data will drive $232 billion in spending through 2016, Wikibon claims that by 2017 big data revenue will have grown to $47.8 billion, and McKinsey Global Institute indicates that big data has the potential to increase the value of the US health care industry by $300 billion and to increase the industry value of Europe's public sector administration by Ä250 billion.

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Abstract

The European Space Agency (ESA) has chosen InterSystems Caché as the database technology for the AGIS astrometric solution that will be used to analyze the celestial data captured by the Gaia satellite.

The Gaia mission is to create an accurate phase-map of about a billion celestial objects. During the mission, the AGIS solution will iteratively refine the accuracy of Gaia's spatial observations, ultimately achieving accuracies that are on the order of 20 microarcseconds.

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Information Sharing Enables Health Plans to Leverage Data and Analytical Assets to Deliver Sustained Value

Executive Summary

The shared-risk payment models that are central to health reform all require tight coordination among payers, providers, and patients if they are to succeed. As payers and providers enter into more and more such agreements, they need to enhance success by communicating and collaborating more effectively with their partners and actively engaging, supporting, and empowering their members.

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Introduction

Australia's recent launch of the Personally Controlled Electronic Health Record (PCEHR) - a significant step towards establishing a national e-Health infrastructure - has simultaneously provided a boost to shared Electronic Patient Record (EPR) projects and delivered a wake-up call to healthcare providers about their readiness for connected care initiatives. In countries around the world, the era of connected care is here.

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Providing a reliable infrastructure for rapid, unattended, automated failover

Technology Overview

Traditional availability and replication solutions often require substantial capital investments in infrastructure, deployment, configuration, software licensing, and planning. Caché Database Mirroring (Mirroring) is designed to provide an economical solution for rapid, reliable, robust, automatic failover between two Caché systems, making mirroring the ideal automatic failover high-availability solution for the enterprise.

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Introduction

This document is intended to provide a survey of various High Availability (HA) strategies that can be used in conjunction with InterSystems Caché, Ensemble, and HealthShare Foundation. This document also provides an overview of the various types of system outages that can occur, as well as how each strategy would handle a given outage, with the goal of helping you choose the right strategy for your specific deployment.

The strategies surveyed in this document are based on three different HA technologies:

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Providing a reliable infrastructure for rapid, unattended, automated failover

Technology Overview

Traditional availability and replication solutions often require substantial capital investments in infrastructure, deployment, configuration, software licensing, and planning. Caché Database Mirroring (Mirroring) is designed to provide an economical solution for rapid, reliable, robust, automatic failover between two Caché systems, making mirroring the ideal automatic failover high-availability solution for the enterprise.

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Introduction

With the maturation and wide acceptance of Java, object-oriented programming has moved to the foreground of the application development landscape. Because of their rich data models and support for productivity-enhancing concepts such as encapsulation, inheritance, and polymorphism, object technologies like Java, C++, and COM, are favored by today's application developers.

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Comprehensive patient view, communication and data sharing, and population health management are key components

Federal agencies have been incenting healthcare providers to leverage their electronic health records (EHRs) to get patients involved in the management of their care. Most organizations, however, haven’t moved beyond patient engagement as an item to be checked off in order to receive meaningful use incentive funding.

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Customers who switch to Caché from relational databases report that their average performance is up to 20 time faster, running on the same hardware, with no changes to the application. What is it about Caché that lets applications run so fast?

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Introduction

Because of increasing business and governmental pressures to integrate their operations, the financial services industry is developing a number of standards for data exchange and other common functions. Standards such as XBRL, FpML, MDDL, RIXML, and FIXML are all specialized dialects of XML (Extensible Markup Language). Any financial services application with good support for XML will be able to communicate effectively using one or more of the emerging industry standards.

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